Serial-Refine Method for Fast Wake-Steering Yaw Optimization

Fleming, Paul A.; Stanley, Andrew P. J.; Bay, Christopher J.; King, Jennifer; Simley, Eric; Doekemeijer, Bart M.; Mudafort, Rafael

doi:10.1088/1742-6596/2265/3/032109

Serial-Refine Method for Fast Wake-Steering Yaw Optimization

Journal Article · Thu Jun 02 00:00:00 EDT 2022 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/2265/3/032109· OSTI ID:1874236

^[1]; Stanley, Andrew P. J. ^[1]; ^[1]; ^[1]; ^[1]; Doekemeijer, Bart M. ^[1]; ^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States). National Wind Technology Center

In this paper we present the Serial-Refine method for quickly finding the optimal yaw angles in wake steering. The method optimizes turbine angles serially from upstream to downstream using a small number of candidate angles. The presented results show that Serial-Refine finds solutions that are at least as good as former conventional optimization approaches but that require much less computation time.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind Energy Technologies Office

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1874236

Report Number(s):: NREL/JA-5000-81983; MainId:82756; UUID:a3a8be80-5e56-4a17-88fb-c55d87df6db5; MainAdminID:64085

Journal Information:: Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Journal Issue: 3 Vol. 2265; ISSN 1742-6588

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

References (6)

Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control Gebraad, Pieter; Thomas, Jared J.; Ning, Andrew Wind Energy, Vol. 20, Issue 1 https://doi.org/10.1002/we.1993	journal	May 2016
Closed-loop model-based wind farm control using FLORIS under time-varying inflow conditions Doekemeijer, Bart M.; van der Hoek, Daan; van Wingerden, Jan-Willem Renewable Energy, Vol. 156 https://doi.org/10.1016/j.renene.2020.04.007	journal	August 2020
Evaluation of the potential for wake steering for U.S. land-based wind power plants Bensason, D.; Simley, E.; Roberts, O. Journal of Renewable and Sustainable Energy, Vol. 13, Issue 3 https://doi.org/10.1063/5.0039325	journal	May 2021
pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems Wu, Neil; Kenway, Gaetan; Mader, Charles Journal of Open Source Software, Vol. 5, Issue 54 https://doi.org/10.21105/joss.02564	journal	October 2020
Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2 Fleming, Paul; King, Jennifer; Simley, Eric Wind Energy Science, Vol. 5, Issue 3 https://doi.org/10.5194/wes-5-945-2020	journal	January 2020
Fast yaw optimization for wind plant wake steering using Boolean yaw angles Stanley, Andrew P. J.; Bay, Christopher; Mudafort, Rafael Wind Energy Science, Vol. 7, Issue 2 https://doi.org/10.5194/wes-7-741-2022	journal	January 2022

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Serial-Refine Method for Fast Wake-Steering Yaw Optimization

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References (6)

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